How to Use the Discourse MCP in Mastra AI

Q: How does Mastra AI handle Discourse moderation tasks?

You build a workflow that calls tools like gettopicdetails. This allows your agent to analyze thread content and decide if action is required.

Q: Can I use Discourse with Mastra AI to manage groups?

Yes. Call listgroupmembers to audit access levels. You can then write logic to remove or add users based on your own internal criteria.

Q: Does this MCP Server require manual approval?

You can set requireToolApproval in your client config. This forces a human to confirm actions before the agent executes them on the forum.

Build reliable moderation workflows in Mastra AI with automated Discourse management tools.

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Connect Discourse MCP to Mastra AI

Create your Vinkius account to connect Discourse to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Discourse with Mastra AI

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Automated moderation using Mastra AI

Create agent workflows that watch for specific topics. Use `list_trending_discussions` to identify high-traffic threads and trigger follow-up actions. Your agents handle the heavy lifting. You define the logic, and the tools perform the lookups across your forums.

Group management for complex workflows

Sync your community groups with your internal logic. Use `list_community_groups` and `list_group_members` to see who belongs to which segment. This helps your agents route tasks or escalate issues. You keep your community organized without manual intervention.

Configuration-driven forum control

Pull your instance settings into your workflow using `get_site_configuration`. This lets your agent adjust its behavior based on the current forum environment. It keeps your automation smart. The agent knows the rules before it takes action on a topic.

Setup guide

Set up Discourse MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Discourse tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "discourse-mcp-client",
  servers: {
    "discourse-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Discourse Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Discourse tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Discourse transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Discourse. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Discourse MCP in Mastra AI

You build a workflow that calls tools like `get_topic_details`. This allows your agent to analyze thread content and decide if action is required.

Yes. Call `list_group_members` to audit access levels. You can then write logic to remove or add users based on your own internal criteria.

The server integrates with your workflow engine. If a network blip occurs, your defined retry policy handles the re-execution of the tool call.

You can set `requireToolApproval` in your client config. This forces a human to confirm actions before the agent executes them on the forum.

All communication stays encrypted via your endpoint token. Your forum metadata never leaves the scope of your secure agent environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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